Anna Hätty

According to our database1, Anna Hätty authored at least 19 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval.
CoRR, May, 2026

2025
PEDANTIC: A Dataset for the Automatic Examination of Definiteness in Patent Claims.
Proceedings of the 6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2025) co-located with the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

Multi-Step Generation of Test Specifications using Large Language Models for System-Level Requirements.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

PAP2PAT: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Pap2Pat: Towards Automated Paper-to-Patent Drafting using Chunk-based Outline-guided Generation.
CoRR, 2024

A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2021
Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains.
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

2020
Automatic term extraction for conventional and extended term definitions across domains
PhD thesis, 2020

Varying Vector Representations and Integrating Meaning Shifts into a PageRank Model for Automatic Term Extraction.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Domain-Specific Dataset of Difficulty Ratings for German Noun Compounds in the Domains DIY, Cooking and Automotive.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Predicting Degrees of Technicality in Automatic Terminology Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction.
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

AkkuBohrHammer vs. AkkuBohrhammer: Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains.
Proceedings of the 15th Conference on Natural Language Processing, 2019

A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A Laypeople Study on Terminology Identification across Domains and Task Definitions.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Fine-Grained Termhood Prediction for German Compound Terms Using Neural Networks.
Proceedings of the Joint Workshop on Linguistic Annotation, 2018

2017
Evaluating the Reliability and Interaction of Recursively Used Feature Classes for Terminology Extraction.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective.
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics, 2016

GhoSt-NN: A Representative Gold Standard of German Noun-Noun Compounds.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016


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